Installing an older version of scikit learn returns errors












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I am currently trying to deploy a python function that uses machine learning and some other calculations. I am attempting to create an enviroment where this function will work. I have python 3, 64-bit. The model was trained on Databricks and the default version of scikit-learn on Databricks is 0.18.1. So in order for me to use my model, I need scikit-learn 0.18.1. Here is the following code I have to import all libraries.



 RUN pip install  
numpy
pandas
scipy
scikit-learn==0.18.1


However, I always get an error with the scikit-learn==0.18.1 import statement. I think maybe this older version does not recognize this version of numpy or maybe I need that mkl package that came with an older version of numpy..? I am not sure how to proceed because I need that model.



enter image description here










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    I am currently trying to deploy a python function that uses machine learning and some other calculations. I am attempting to create an enviroment where this function will work. I have python 3, 64-bit. The model was trained on Databricks and the default version of scikit-learn on Databricks is 0.18.1. So in order for me to use my model, I need scikit-learn 0.18.1. Here is the following code I have to import all libraries.



     RUN pip install  
    numpy
    pandas
    scipy
    scikit-learn==0.18.1


    However, I always get an error with the scikit-learn==0.18.1 import statement. I think maybe this older version does not recognize this version of numpy or maybe I need that mkl package that came with an older version of numpy..? I am not sure how to proceed because I need that model.



    enter image description here










    share|improve this question

























      0












      0








      0








      I am currently trying to deploy a python function that uses machine learning and some other calculations. I am attempting to create an enviroment where this function will work. I have python 3, 64-bit. The model was trained on Databricks and the default version of scikit-learn on Databricks is 0.18.1. So in order for me to use my model, I need scikit-learn 0.18.1. Here is the following code I have to import all libraries.



       RUN pip install  
      numpy
      pandas
      scipy
      scikit-learn==0.18.1


      However, I always get an error with the scikit-learn==0.18.1 import statement. I think maybe this older version does not recognize this version of numpy or maybe I need that mkl package that came with an older version of numpy..? I am not sure how to proceed because I need that model.



      enter image description here










      share|improve this question














      I am currently trying to deploy a python function that uses machine learning and some other calculations. I am attempting to create an enviroment where this function will work. I have python 3, 64-bit. The model was trained on Databricks and the default version of scikit-learn on Databricks is 0.18.1. So in order for me to use my model, I need scikit-learn 0.18.1. Here is the following code I have to import all libraries.



       RUN pip install  
      numpy
      pandas
      scipy
      scikit-learn==0.18.1


      However, I always get an error with the scikit-learn==0.18.1 import statement. I think maybe this older version does not recognize this version of numpy or maybe I need that mkl package that came with an older version of numpy..? I am not sure how to proceed because I need that model.



      enter image description here







      python-3.x scikit-learn scipy install






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      share|improve this question











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      asked Nov 19 '18 at 23:31









      Dana McDowelleDana McDowelle

      2416




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